Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,293

The DOI matches its Crossref record.

Automated generation and analysis of attack graphs

Sheyner, O., Haines, J., Jha, S., Lippmann, R., Wing, J.M.·2005·Proceedings 2002 IEEE Symposium on Security and Privacy

Abstract

An integral part of modeling the global view of network security is constructing attack graphs. Manual attack graph construction is tedious, error-prone, and impractical for attack graphs larger than a hundred nodes. In this paper we present an automated technique for generating and analyzing attack graphs. We base our technique on symbolic model checking algorithms, letting us construct attack graphs automatically and efficiently. We also describe two analyses to help decide which attacks would be most cost-effective to guard against. We implemented our technique in a tool suite and tested it on a small network example, which includes models of a firewall and an intrusion detection system.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/secpri.2002.1004377

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 1,293

Metadata

Authors
Sheyner, O., Haines, J., Jha, S., Lippmann, R., & Wing, J. M.
Venue
Proceedings 2002 IEEE Symposium on Security and Privacy
Published
2005-08-24
Pages
273-284
ISSN
1081-6011 (ISSN-L)
OpenAlex
W2121805588
Cited by
1,293
References
0
FWCI
72.07
Type
conference paper
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Automated generation and analysis of attack graphs. https://app.cochat.ai/papers/10.1109/secpri.2002.1004377
The paper
Sheyner, O., Haines, J., Jha, S., Lippmann, R., & Wing, J. M. (2005). Automated generation and analysis of attack graphs. Proceedings 2002 IEEE Symposium on Security and Privacy. https://doi.org/10.1109/secpri.2002.1004377

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.